analyze_impact

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure, but it discloses nothing about side effects, mutation, permissions, return values, or computational bounds. The agent has no idea whether this is a read-only analysis or something that changes state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but this is under-specification rather than efficient conciseness. Every word is wasted because it restates the name, providing no actionable content. There is no structure or front-loading of useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 15 parameters, no output schema, and no annotations, the description is completely inadequate. An agent would be unable to determine required parameter semantics, optional parameter effects, or expected results. This is critically incomplete for any real usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema lists 15 parameters with zero description in the schema and zero description coverage. The tool description adds no meaning to any parameter. With no guidance on what 'depth', 'direction', 'edge_budget', or 'node_id' mean in this context, the agent cannot correctly construct a request.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'analyze impact' is a tautology that restates the tool name without specifying what impact means, what resource is analyzed, or how it differs from sibling tools like traverse_graph or find_paths. It provides no verb-object clarity beyond the name itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to use it, or which alternatives might be more appropriate. Given the large sibling set of graph traversal and context tools, the absence of any usage context leaves the agent to guess.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.